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The following results are related to European Marine Science. Are you interested to view more results? Visit OpenAIRE - Explore.
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  • European Marine Science
  • Research data
  • Other research products
  • 2018-2022
  • Open Access
  • ZA

Date (most recent)
  • Open Access English
    Fischer, Delmarie; Annegarn, Harold; Lochner, Paul;
    Publisher: Taylor & Francis
    Country: South Africa

    Criteria for the evaluation of the effectiveness of Strategic Environmental Assessment (SEA) have evolved internationally from the requirement for mere procedural effectiveness, to include criteria such as substantial and incremental effectiveness. This paper provides an overview of the international evolution of effectiveness evaluation for SEA and its parallel progression in South Africa. Within this context, the effectiveness of the two SEA case studies conducted in support of national-scale renewable energy planning in South Africa was reviewed against internationally recognised effectiveness criteria to test their ability to influence decision making for renewable energy projects in the country. The evaluation was informed by the role of the first author as the project director in the case studies. The review found the SEAs to be partially effective, mainly through the introduction of new legislation, processes and systems at the national level that operationalise the outcomes of the SEA. A fundamental limitation emerged in determining whether incremental effectiveness had been achieved as it is too soon to evaluate the effectiveness of the recently promulgated legislation and instruments. The paper builds on previous work on effectiveness evaluations and provides the perspective of an administrative implementer

  • Open Access English
    Worsfold, Paul J.; Achterberg, Eric P.; Birchill, Antony J.; Clough, Robert; Leito, Ivo; Lohan, Maeve C.; Milne, Angela; Ussher, Simon J.;
    Project: EC | AtlantOS (633211), UKRI | Shelf sources of iron to ... (NE/K001779/1)

    A realistic estimation of uncertainty is an essential requirement for all analytical measurements. It is common practice, however, for the uncertainty estimate of a chemical measurement to be based on the instrumental precision associated with the analysis of a single or multiple samples, which can lead to underestimation. Within the context of chemical oceanography such an underestimation of uncertainty could lead to an over interpretation of the result(s) and hence impact on, e.g., studies of biogeochemical cycles, and the outputs from oceanographic models. Getting high quality observational data with a firm uncertainty assessment is therefore essential for proper model validation. This paper describes and compares two recommended approaches that can give a more holistic assessment of the uncertainty associated with such measurements, referred to here as the “bottom up” or modeling approach and the “top down” or empirical approach. “Best practice” recommendations for the implementation of these strategies are provided. The “bottom up” approach combines the standard uncertainties associated with each stage of the entire measurement procedure. The “top down” approach combines the uncertainties associated with day to day reproducibility and possible bias in the complete data set and is easy to use. For analytical methods that are routinely used, laboratories will have access to the information required to calculate the uncertainty from archived quality assurance data. The determination of trace elements in seawater is a significant analytical challenge and iron is used as an example for the implementation of both approaches using real oceanographic data. Relative expanded uncertainties of 10 – 20% were estimated for both approaches compared with a typical short term precision (rsd) of less than or equal to 5%. Refereed 14.A TRL 8 Actual system completed and "mission qualified" through test and demonstration in an operational environment (ground or space) Manual (incl. handbook, guide, cookbook etc) Best Practice 2018-04-19

  • Open Access English
    Crise, Alessandro; Ribera d’Alcalà, Maurizio; Mariani, Patrizio; Petihakis, George; Robidart, Julie; Iudicone, Daniele; Bachmayer, Ralf; Malfatti, Francesca;
    Project: EC | EMSO-Link (731036), EC | JERICO-NEXT (654410), UKRI | Development and applicati... (NE/N006496/1), EC | AtlantOS (633211)

    In the field of ocean observing, the term of “observatory” is often used without a unique meaning. A clear and unified definition of observatory is needed in order to facilitate the communication in a multidisciplinary community, to capitalize on future technological innovations and to support the observatory design based on societal needs. In this paper, we present a general framework to define the next generation Marine OBservatory (MOB), its capabilities and functionalities in an operational context. The MOB consists of four interconnected components or “gears” (observation infrastructure, cyberinfrastructure, support capacity, and knowledge generation engine) that are constantly and adaptively interacting with each other. Therefore, a MOB is a complex infrastructure focused on a specific geographic area with the primary scope to generate knowledge via data synthesis and thereby addressing scientific, societal, or economic challenges. Long-term sustainability is a key MOB feature that should be guaranteed through an appropriate governance. MOBs should be open to innovations and good practices to reduce operational costs and to allow their development in quality and quantity. A deeper biological understanding of the marine ecosystem should be reached with the proliferation of MOBs, thus contributing to effective conservation of ecosystems and management of human activities in the oceans. We provide an actionable model for the upgrade and development of sustained marine observatories producing knowledge to support science-based economic and societal decisions. Refereed 14.A Manual (incl. handbook, guide, cookbook etc) 2018-09-07